BCO-DMO ERDDAP
Accessing BCO-DMO data

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Dataset Title:	[Ecological monitoring Natividad 2006-2021: Fish] - Ecological monitoring of fish on Isla Natividad from 2006 to 2021 (Collaborative Research: Evaluating how abalone populations in the California Current are structured by the interplay of large-scale oceanographic forcing and nearshore variability)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_907363_v1)
Range:	longitude = -115.521 to -115.0491°E, time = 2006-08-14T16:33:00Z to 2021-09-24T20:19:00Z
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Files

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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  ID {
    String long_name "Id";
    String units "unitless";
  }
  DAY {
    Int32 actual_range 1, 31;
    String long_name "Day";
    String units "unitless";
  }
  MONTH {
    Int32 actual_range 6, 9;
    String long_name "Month";
    String units "unitless";
  }
  YEAR {
    Int32 actual_range 2006, 2021;
    String long_name "Year";
    String units "unitless";
  }
  STATE {
    String long_name "State";
    String units "unitless";
  }
  COMMUNITY {
    String long_name "Community";
    String units "unitless";
  }
  SITE {
    String long_name "Site";
    String units "unitless";
  }
  LAT {
    Float32 actual_range 27.50504, 27.89524;
    String long_name "Lat";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -115.521, -115.0491;
    String axis "X";
    String ioos_category "Location";
    String long_name "Long";
    String standard_name "longitude";
    String units "degrees_east";
  }
  HABITAT {
    String long_name "Habitat";
    String units "unitless";
  }
  ZONE {
    String long_name "Zone";
    String units "unitless";
  }
  PROTECTION {
    String long_name "Protection";
    String units "unitless";
  }
  MPA {
    String long_name "Mpa";
    String units "unitless";
  }
  DIVER {
    String long_name "Diver";
    String units "unitless";
  }
  START_TIME {
    String long_name "Start_time";
    String units "unitless";
  }
  FINAL_TIME {
    String long_name "Final_time";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.15557318e+9, 1.63251474e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Iso_datetime_utc_start";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  START_DEPTH {
    Float32 actual_range 3.3, 25.0;
    String long_name "Start_depth";
    String units "m";
  }
  FINAL_DEPTH {
    Float32 actual_range 3.2, 25.0;
    String long_name "Final_depth";
    String units "m";
  }
  TEMPERATURE {
    Float32 actual_range 5.0, 26.0;
    String long_name "Temperature";
    String units "degrees Celcius";
  }
  VISIBILITY {
    Float32 actual_range 1.0, 18.0;
    String long_name "Visibility";
    String units "meters (m)";
  }
  CURRENT {
    String long_name "Current";
    String units "unitless";
  }
  TRANSECT {
    Int32 actual_range 1, 31;
    String long_name "Transect";
    String units "meters (m)";
  }
  GENUS {
    String long_name "Genus";
    String units "unitless";
  }
  SPECIES {
    String long_name "Species";
    String units "unitless";
  }
  SEX {
    String long_name "Sex";
    String units "unitless";
  }
  SIZE {
    Float32 actual_range 2.0, 120.0;
    String long_name "Size";
    String units "centimeters (cm)";
  }
  ABUNDANCE {
    Int32 actual_range 1, 111;
    String long_name "Abundance";
    String units "per individual";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_url "https://www.bco-dmo.org/";
    String doi "10.26008/1912/bco-dmo.907363.1";
    Float64 Easternmost_Easting -115.0491;
    Float64 geospatial_lon_max -115.0491;
    Float64 geospatial_lon_min -115.521;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-10-21T09:39:09Z (local files)
2024-10-21T09:39:09Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_907363_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/907363";
    String institution "BCO-DMO";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String sourceUrl "(local files)";
    String summary 
"This dataset encompasses information about fish transects between 2006 to 2021 in Isla Natividad. Abundances, sex and size of fish can be found in the data set. Also, the dates when the transects were done, the site, the name of the diver, the depth the transect was laid, if the site was a marine reserve or not, if the site is inside a marine protected area or not, the latitude and longitude of the sites, the temperature of the water, the number of transect from where the information was counted, and the species name of the fish counted.

Ecological monitoring is important to collect data of species that inhabit an specific ecosystem. For this data set, we present all the data form 2006 to 2021 on algae, marine invertebrates, fish and uniform point contact at six different sites in Isla Natividad off the coast of Baja California Sur, Mexico. Data was collected once a year by trained divers as a collaborative effort from Stanford University, non-governmental organizations, and fishing cooperative federations. These data provides the abundaces of algae, invertebrates, fish and substrate  of Isla Natividad over the spam of 15 years and may be use to assess changes in the ecosystems after shocks such as hypoxic events or marine heatwaves.";
    String time_coverage_end "2021-09-24T20:19:00Z";
    String time_coverage_start "2006-08-14T16:33:00Z";
    String title "[Ecological monitoring Natividad 2006-2021: Fish] - Ecological monitoring of fish on Isla Natividad from 2006 to 2021 (Collaborative Research: Evaluating how abalone populations in the California Current are structured by the interplay of large-scale oceanographic forcing and nearshore variability)";
    Float64 Westernmost_Easting -115.521;
  }
}

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link)

Data Access Protocol (DAP) (external link)

and its selection constraints (external link)

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

(easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.

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